Intelligent privacy preservation proctol in wireless MANET for IoT applications using hybrid crow search-harris hawks optimization

Mobile Ad-Hoc Networks (MANETs) are useful and appropriate, especially for complex scenarios, including law, military enforcement as well disaster recovery, and emergency rescue. Among different cryptographic algorithms, there is a chance of data hacking according to random key generation. The major...

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Published in:	Wireless networks Vol. 28; no. 6; pp. 2713 - 2729
Main Authors:	Pamarthi, Satyanarayana, Narmadha, R.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.08.2022 Springer Nature B.V
Subjects:	Algorithms Chaos theory Communications Engineering Computer Communication Networks Cryptography Electrical Engineering Encryption Engineering Heuristic methods Internet of Things IT in Business Mobile ad hoc networks Networks Optimization Original Paper Performance evaluation Privacy Rescue operations Statistical analysis Wireless networks Privacy preservation proctol Adaptive key management strategy Optimal key generation Wireless mobile ad-hoc networks Crow Harris Hawks search optimization
ISSN:	1022-0038, 1572-8196
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Abstract	Mobile Ad-Hoc Networks (MANETs) are useful and appropriate, especially for complex scenarios, including law, military enforcement as well disaster recovery, and emergency rescue. Among different cryptographic algorithms, there is a chance of data hacking according to random key generation. The major purpose of this work is to plan and implement a new security protocol in MANET that is applicable for IoT platforms. The approach focused on this research is the modified chaotic map for encryption and decryption to deal with MANET and IoT data. The privacy preservation model is designed with a suggested cryptographic algorithm for enhancing the privacy and security of the MANET and IoT. An enhanced chaotic map is developed for processing the key generation that maintains the encryption and decryption process and prevents the loss of data while recovering the data. The adaptive key management strategy under the chaotic map is developed in this paper using a hybrid meta-heuristic algorithm named Crow Harris Hawks Search Optimization (CHHSO). Finally, the security analysis and performance evaluation in comparison is made in terms of “statistical analysis, convergence analysis, and communication overhead” that show the improved performance of the proposed model.
AbstractList	Mobile Ad-Hoc Networks (MANETs) are useful and appropriate, especially for complex scenarios, including law, military enforcement as well disaster recovery, and emergency rescue. Among different cryptographic algorithms, there is a chance of data hacking according to random key generation. The major purpose of this work is to plan and implement a new security protocol in MANET that is applicable for IoT platforms. The approach focused on this research is the modified chaotic map for encryption and decryption to deal with MANET and IoT data. The privacy preservation model is designed with a suggested cryptographic algorithm for enhancing the privacy and security of the MANET and IoT. An enhanced chaotic map is developed for processing the key generation that maintains the encryption and decryption process and prevents the loss of data while recovering the data. The adaptive key management strategy under the chaotic map is developed in this paper using a hybrid meta-heuristic algorithm named Crow Harris Hawks Search Optimization (CHHSO). Finally, the security analysis and performance evaluation in comparison is made in terms of “statistical analysis, convergence analysis, and communication overhead” that show the improved performance of the proposed model.
Author	Pamarthi, Satyanarayana Narmadha, R.
Author_xml	– sequence: 1 givenname: Satyanarayana surname: Pamarthi fullname: Pamarthi, Satyanarayana email: satya.sp14@gmail.com organization: Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology – sequence: 2 givenname: R. surname: Narmadha fullname: Narmadha, R. organization: Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology
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CitedBy_id	crossref_primary_10_1016_j_comcom_2022_12_006 crossref_primary_10_3233_JIFS_232924
Cites_doi	10.1109/TNSE.2020.2970767 10.1007/s11277-017-4923-7 10.1007/s10776-017-0373-0 10.1007/s11277-021-09039-1 10.1016/j.comnet.2020.107743 10.3390/s21237793 10.1016/j.adhoc.2019.102022 10.1007/s10586-019-03028-7 10.1007/s11042-019-7617-1 10.1007/s11227-013-0920-0 10.1109/ACCESS.2020.2990932 10.1007/s11277-017-4713-2 10.1007/s12083-020-01038-6 10.1016/j.future.2021.01.028 10.1109/ACCESS.2020.2991543 10.1016/j.pmcj.2018.01.006 10.1007/s11277-020-07251-z 10.1007/s11277-020-07105-8 10.1007/s11276-021-02850-5 10.1007/s10916-018-1050-2 10.1109/JIOT.2019.2939286 10.1007/s11276-015-1135-5 10.1007/s11235-017-0352-x 10.1108/ijius-05-2021-0028 10.1007/s12652-020-02076-x 10.1109/TII.2019.2960275 10.1007/s13369-020-04896-7 10.1007/s10207-020-00535-2 10.1007/s11036-019-01448-8 10.1007/s13198-021-01173-0 10.1109/JIOT.2019.2944007 10.1007/s11227-019-03003-4 10.1109/ETI4.051663.2021.9619420 10.1109/CAOL46282.2019.9019583
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Keywords	Privacy preservation proctol Adaptive key management strategy Optimal key generation Wireless mobile ad-hoc networks Crow Harris Hawks search optimization
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publication-title: Wireless Networks doi: 10.1007/s11276-021-02850-5
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SubjectTerms	Algorithms Chaos theory Communications Engineering Computer Communication Networks Cryptography Electrical Engineering Encryption Engineering Heuristic methods Internet of Things IT in Business Mobile ad hoc networks Networks Optimization Original Paper Performance evaluation Privacy Rescue operations Statistical analysis Wireless networks
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Title	Intelligent privacy preservation proctol in wireless MANET for IoT applications using hybrid crow search-harris hawks optimization
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